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Automated Bone Age Assessment: Motivation, Taxonomies, and Challenges
Bone age assessment (BAA) of unknown people is one of the most important topics in clinical procedure for evaluation of biological maturity of children. BAA is performed usually by comparing an X-ray of left hand wrist with an atlas of known sample bones. Recently, BAA has gained remarkable ground f...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3876824/ https://www.ncbi.nlm.nih.gov/pubmed/24454534 http://dx.doi.org/10.1155/2013/391626 |
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author | Mansourvar, Marjan Ismail, Maizatul Akmar Herawan, Tutut Gopal Raj, Ram Abdul Kareem, Sameem Nasaruddin, Fariza Hanum |
author_facet | Mansourvar, Marjan Ismail, Maizatul Akmar Herawan, Tutut Gopal Raj, Ram Abdul Kareem, Sameem Nasaruddin, Fariza Hanum |
author_sort | Mansourvar, Marjan |
collection | PubMed |
description | Bone age assessment (BAA) of unknown people is one of the most important topics in clinical procedure for evaluation of biological maturity of children. BAA is performed usually by comparing an X-ray of left hand wrist with an atlas of known sample bones. Recently, BAA has gained remarkable ground from academia and medicine. Manual methods of BAA are time-consuming and prone to observer variability. This is a motivation for developing automated methods of BAA. However, there is considerable research on the automated assessment, much of which are still in the experimental stage. This survey provides taxonomy of automated BAA approaches and discusses the challenges. Finally, we present suggestions for future research. |
format | Online Article Text |
id | pubmed-3876824 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-38768242014-01-16 Automated Bone Age Assessment: Motivation, Taxonomies, and Challenges Mansourvar, Marjan Ismail, Maizatul Akmar Herawan, Tutut Gopal Raj, Ram Abdul Kareem, Sameem Nasaruddin, Fariza Hanum Comput Math Methods Med Review Article Bone age assessment (BAA) of unknown people is one of the most important topics in clinical procedure for evaluation of biological maturity of children. BAA is performed usually by comparing an X-ray of left hand wrist with an atlas of known sample bones. Recently, BAA has gained remarkable ground from academia and medicine. Manual methods of BAA are time-consuming and prone to observer variability. This is a motivation for developing automated methods of BAA. However, there is considerable research on the automated assessment, much of which are still in the experimental stage. This survey provides taxonomy of automated BAA approaches and discusses the challenges. Finally, we present suggestions for future research. Hindawi Publishing Corporation 2013 2013-12-16 /pmc/articles/PMC3876824/ /pubmed/24454534 http://dx.doi.org/10.1155/2013/391626 Text en Copyright © 2013 Marjan Mansourvar et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Article Mansourvar, Marjan Ismail, Maizatul Akmar Herawan, Tutut Gopal Raj, Ram Abdul Kareem, Sameem Nasaruddin, Fariza Hanum Automated Bone Age Assessment: Motivation, Taxonomies, and Challenges |
title | Automated Bone Age Assessment: Motivation, Taxonomies, and Challenges |
title_full | Automated Bone Age Assessment: Motivation, Taxonomies, and Challenges |
title_fullStr | Automated Bone Age Assessment: Motivation, Taxonomies, and Challenges |
title_full_unstemmed | Automated Bone Age Assessment: Motivation, Taxonomies, and Challenges |
title_short | Automated Bone Age Assessment: Motivation, Taxonomies, and Challenges |
title_sort | automated bone age assessment: motivation, taxonomies, and challenges |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3876824/ https://www.ncbi.nlm.nih.gov/pubmed/24454534 http://dx.doi.org/10.1155/2013/391626 |
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